I'm Aadarsha Gopala Reddy — an M.S. Computer Science graduate from Washington University in St. Louis (May 2026). My work sits at the intersection of machine learning, data engineering, and healthcare AI.
- Master's Thesis: Benchmarked six model families (including DANN and GRU-DANN) on 26.9K participant-weeks of naturalistic driving data to predict cognitive impairment across vehicle types.
- AI Engineering: Interned at Crittero, Inc., building recommendation frameworks (TensorFlow/Keras) and persona-based social media simulation systems (TypeScript/Python).
- Teaching: Graduate TA for CSE 5114: Data Manipulation & Management at Scale — supporting graduate coursework spanning Snowflake, SQL, Airflow, Spark, Kafka, and Flink.
- Student Success: Graduate Assistant at the Taylor Family Center, managing event programming, communication, and FERPA-compliant student engagement analytics.
- Graduate Governance: VP of the GPC Chamber (GPSC), serving on university advisory boards for student affairs & career engagement.
Languages
ML & Data
Web & Systems
Data Engineering
| Project | Description | Tech |
|---|---|---|
| Vehicle-Agnostic Driving Signatures | Master's thesis benchmarking six model families (logistic regression, RF, XGBoost, MLP, DANN, GRU-DANN) under leave-one-participant-out CV on 26.9K participant-weeks of naturalistic driving data to predict cognitive impairment. | Python, PyTorch, Deep Learning, Domain Adaptation |
| Blink Morse Decoder | Accessibility-focused Android app translating eye blinks to Morse code using real-time facial landmark tracking and bio-vitals. | Kotlin, Android, CameraX, SmartSpectra SDK |
| Red-Blue Visual Auto Defender | Automated teaming pipeline generating visual prompt-injection jailbreaks on VLMs and generating rule-based OCR Python defenses. | Python, Gemma-3, Transformers, OpenCV, OCR |
| DRL Datacenter Cooling | Deep RL (DDQN, PPO, SAC) with EnergyPlus simulation for HVAC optimization (35.8% energy efficiency gain). | Python, PyTorch, EnergyPlus, Sinergym |
| MLB Statcast Pipeline | Real-time lambda-architecture pipeline combining Airflow batch ingestion with Kafka/Spark streaming and Streamlit dashboard. | Python, Airflow, Snowflake, Kafka, Spark, Streamlit |
| Tales We Weave (Interactive Storybook) | Branching AI narrative platform with zoomable SVG story trees, using Gemini text and fal.ai image generation. | Vue.js 3, Node.js, Express, MongoDB, Gemini API, fal.ai |
→ All projects / GitHub Repositories
| Degree | School | Years |
|---|---|---|
| M.S. Computer Science | Washington University in St. Louis | 2024 – 2026 |
| B.A. Computer Science & Data Analytics | Ohio Wesleyan University | 2020 – 2023 |
